AI-driven automation is the future of healthcare document processing.

Enovis Accelerates Order Processing and Increases Accuracy with Notable Systems’ AI-Powered Automation

Introduction

Enovis is a global leader in orthopedic equipment, processing 1.3 million orders annually across hospitals, clinics, and physician offices.

• Prior to automation, Enovis relied on manual, error-prone processes that delayed insurance pre-authorization and led to lost revenue.
• By adopting Notable Systems, Enovis has eliminated manual data entry inefficiencies, reduced errors, and accelerated order processing.
• Two key business lines benefit from Notable’s AI-driven automation:
  
  • CMF Bone Growth Stimulators (Regen)
  • Bracing & Support (BAS)

The Problem

Manual Processing Delays and Lost Revenue

CMF Bone Growth Stimulators (Regen)

• Slow and error-prone manual data entry delayed pre-authorization and reimbursement.
• Orders took multiple days for processing, increasing the risk of claim denials and revenue loss.
• Offshore data entry introduced accuracy issues, leading to lost orders and sales rep frustration.

Bracing & Support (BAS)

• Enovis processed 90,000 BAS orders per year, relying on manual document review for insurance qualification and medical necessity validation.
• Multi-channel submissions (fax, email, PDFs) required extensive human verification and routing, slowing approvals.

The Solution

AI-Powered Order Processing & Validation

Notable’s Automated Approach

• Hybrid AI-Human System combines:
  
  • AI-based data extraction
  • Human "puzzle solvers" for complex cases
  • Real-time validation of medical and insurance rules
• Seamless Integration with Enovis’ OnBase System & Salesforce enables real-time updates for sales teams.
• High-speed document processing for both Regen & BAS, returning:
  
  • PDFs with extracted data
  • Error/omission reports
  • Medical necessity validation summaries

Order Qualification for BAS

• Keyword indexing enables low-cost, automated order completeness validation before submission.
• Reduces time spent chasing missing information, ensuring faster approvals and fewer denials.

Results: Speed, Accuracy & Revenue Impact

• Notable processes Regen orders 7.2 minutes on average, well below the 15-minute SLA.
• Pre-authorization processing time reduced from multiple days to same-day approvals.
• Error-free claims are reimbursed faster, reducing lost revenue.
• Increased automation led to fewer manual interventions, saving Enovis $20M annually.

Future Outlook: Full AI-Driven Payor Decision Prediction

• Notable’s Payor Greenlight System is being implemented to fully automate medical criteria review.
• AI will predict payor decision-making, eliminating manual pre-authorization intervention.
  
• Ongoing advancements in AI and machine learning will continue to:
  
  • Decrease turnaround time
  • Increase accuracy
  • Further reduce reliance on human-in-the-loop validation

Conclusion:  The Future of AI-Powered Healthcare Automation

• Notable Systems has transformed Enovis' order processing, increasing revenue, reducing delays, and improving accuracy.
• AI-driven automation is the future of healthcare document processing, ensuring faster approvals, higher compliance, and better patient care.
• Next step: Full automation of medical necessity validation and payor approvals.

“Enovis can now send—within minutes—emails to our hundreds of sales personnel around the U.S., letting them know if an order is 100 percent complete or if more data is required.”
_{Birt Stem, VP Automation/Sales Solution, Enovis} 

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